用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill airflow-1-basic-dag-structure命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
正在显示 SKILL.md
| name | airflow-1-basic-dag-structure |
| description | Sub-skill of airflow: 1. Basic DAG Structure. |
| version | 1.0.0 |
| category | operations |
| type | reference |
| scripts_exempt | true |
# dags/basic_dag.py
"""
Basic DAG demonstrating core Airflow concepts.
"""
from datetime import datetime, timedelta
from airflow import DAG
from airflow.operators.python import PythonOperator
from airflow.operators.bash import BashOperator
from airflow.operators.empty import EmptyOperator
# Default arguments for all tasks
default_args = {
'owner': 'data-team',
'depends_on_past': False,
'email': ['alerts@example.com'],
'email_on_failure': True,
'email_on_retry': False,
'retries': 3,
'retry_delay': timedelta(minutes=5),
'retry_exponential_backoff': True,
'max_retry_delay': timedelta(minutes=30),
'execution_timeout': timedelta(hours=2),
}
# DAG definition
with DAG(
dag_id='basic_etl_pipeline',
default_args=default_args,
description='Basic ETL pipeline demonstrating core patterns',
schedule_interval='0 6 * * *', # Daily at 6 AM
start_date=datetime(2026, 1, 1),
catchup=False,
max_active_runs=1,
tags=['etl', 'production'],
doc_md="""